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Where do we start when we have to write a new class or feature It s tempting to start with degenerate or failure cases because they re often easier That s a common interpretation of the XP maxim to do the simplest thing that could possibly work [Beck02], but simple should not be interpreted as simplistic Degenerate cases don t add much to the value of the system and, more importantly, don t give us enough feedback about the validity of our ideas Incidentally, we also nd that focusing on the failure cases at the beginning of a feature is bad for morale if we only work on error handling it feels like we re not achieving anything We prefer to start by testing the simplest success case Once that s working, we ll have a better idea of the real structure of the solution and can prioritize between handling any possible failures we noticed along the way and further success cases Of course, a feature isn t complete until it s robust This isn t an excuse not to bother with failure handling but we can choose when we want to implement rst We nd it useful to keep a notepad or index cards by the keyboard to jot down failure cases, refactorings, and other technical tasks that need to be addressed This allows us to stay focused on the task at hand without dropping detail The feature is nished only when we ve crossed off everything on the list either we ve done each task or decided that we don t need to



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If not, the return value is (-(insertion point) - 1), where the insertion point is the point at which the value would be inserted into the List: the index of the first element greater than the value orlistsize() if all elements in the List are less than the specified value This admittedly ugly formula guarantees that the return value will be >= 0 if and only if the search key is found It's basically a hack to combine a Boolean (found) and an integer (index) into a single int return value The following idiom, usable with both forms of the binarySearch operation, looks for the specified search key and inserts it at the appropriate position if it's not already present:

int pos = CollectionsbinarySearch(l, key); if (pos < 0) { ladd(-pos-1); } Finding Extreme Values Table of Contents





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The PKM to con gure when the system should send email reminders to him/her to include knowledge capture into the agenda of the coming project meeting/review The PKM to con gure the intervals at which the system should send email reminders requesting all users to add new knowledge into the system

Java Tutorial, Third Edition: A Short Course on Themin and the max algorithms return, respectively, the minimum and maximum element contained in a specified Collection Both of these operations come in two forms The sim-ple form takes only a the Basics, The Collection and Kathy Walrath,Alison Huml maximum) element according to the elements' natural ByMary Campione, returns the minimum (or ordering The second form takes a Comparator in addition to the Collection and returns the minimum (or maximum) element according to the specified Comparator

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Iterations in Space We re writing this material around the fortieth anniversary of the rst Moon landing The Moon program was an excellent example of an incremental approach (although with much larger stakes than we re used to) In 1967, they proposed a series of seven missions, each of which would be a step on the way to a landing: 1 2 3 4 5 6 7 Unmanned Command/Service Module (CSM) test Unmanned Lunar Module (LM) test Manned CSM in low Earth orbit Manned CSM and LM in low Earth orbit Manned CSM and LM in an elliptical Earth orbit with an apogee of 4600 mi (7400 km) Manned CSM and LM in lunar orbit Manned lunar landing

Publisher : Addison Wesley Pub Date : December 28, 2000 These are the only algorithm the Java platform provides that work on arbitrary Collection objects, ISBN 0-201-70393-9 as opposed:to List objects Like the fill algorithm, these algorithms are quite straightforward to Pages implement : 592 and are included in the Java platform solely as a convenience to programmers

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